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  1. Article ; Online: Deep Learning Applications to Combat Novel Coronavirus (COVID-19) Pandemic.

    Asraf, Amanullah / Islam, Md Zabirul / Haque, Md Rezwanul / Islam, Md Milon

    SN computer science

    2020  Volume 1, Issue 6, Page(s) 363

    Abstract: During this global pandemic, researchers around the world are trying to find out innovative technology for a smart healthcare system to combat coronavirus. The evidence of deep learning applications on the past epidemic inspires the experts by giving a ... ...

    Abstract During this global pandemic, researchers around the world are trying to find out innovative technology for a smart healthcare system to combat coronavirus. The evidence of deep learning applications on the past epidemic inspires the experts by giving a new direction to control this outbreak. The aim of this paper is to discuss the contributions of deep learning at several scales including medical imaging, disease tracing, analysis of protein structure, drug discovery, and virus severity and infectivity to control the ongoing outbreak. A progressive search of the database related to the applications of deep learning was executed on COVID-19. Further, a comprehensive review is done using selective information by assessing the different perspectives of deep learning. This paper attempts to explore and discuss the overall applications of deep learning on multiple dimensions to control novel coronavirus (COVID-19). Though various studies are conducted using deep learning algorithms, there are still some constraints and challenges while applying for real-world problems. The ongoing progress in deep learning contributes to handle coronavirus infection and plays an effective role to develop appropriate solutions. It is expected that this paper would be a great help for the researchers who would like to contribute to the development of remedies for this current pandemic in this area.
    Keywords covid19
    Language English
    Publishing date 2020-11-03
    Publishing country Singapore
    Document type Journal Article ; Review
    ISSN 2661-8907
    ISSN (online) 2661-8907
    DOI 10.1007/s42979-020-00383-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Toxicological effect of sumithion pesticide on the hematological parameters and its recovery pattern using probiotic in

    Kole, Kamrunnaher / Islam, Md Rabiul / Mrong, Cynthia Elisia / Neepa, Nusrat Nahid / Sultana, Nargis / Haque, Md Rezwanul / Salam, Sadia / Mostakim, Golam Mohammod

    Toxicology reports

    2022  Volume 9, Page(s) 230–237

    Abstract: The experiment was conducted to clarify sumithion induced hematoxicity in silver barb ( ...

    Abstract The experiment was conducted to clarify sumithion induced hematoxicity in silver barb (
    Language English
    Publishing date 2022-02-07
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 2805786-7
    ISSN 2214-7500 ; 2214-7500
    ISSN (online) 2214-7500
    ISSN 2214-7500
    DOI 10.1016/j.toxrep.2022.02.004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Toxicological effect of sumithion pesticide on the hematological parameters and its recovery pattern using probiotic in Barbonymus gonionotus

    Kole, Kamrunnaher / Isalāma, Moḥ. Rabiula / Mrong, Cynthia Elisia / Neepa, Nusrat Nahid / Sultana, Nargis / Haque, Md. Rezwanul / Salam, Sadia / Mostakim, Golam Mohammod

    Toxicology Reports. 2022, v. 9 p.230-237

    2022  

    Abstract: The experiment was conducted to clarify sumithion induced hematoxicity in silver barb (Barbonymus gonionotus) through in vivo exposures (25 % and 50 % of LC₅₀ of sumithion) and subsequent recovery patterns using normal and probiotic treated feed were ... ...

    Abstract The experiment was conducted to clarify sumithion induced hematoxicity in silver barb (Barbonymus gonionotus) through in vivo exposures (25 % and 50 % of LC₅₀ of sumithion) and subsequent recovery patterns using normal and probiotic treated feed were also assessed. Three treatments each incorporating three replications were used in the experiment for different days (1, 7, 14, 21, and 28). Treatment T₁ was control (0 mg/L), and two concentrations, such as 2.61 mg/L (25 % of 96 h LC₅₀), 5.21 mg/L (50 % of 96 h LC₅₀) were used as Treatment T₂ and T₃, respectively. After 28 days of exposure to pesticide half of the fishes of T₂ and T₃ were reared in sumithion free water with normal (T₂N, T₃N) and probiotic treated feed (T₂P, T₃P). The median lethal concentration (50 %) for 96 h was 10.42 mg/L. In pesticide-treated groups, values of each hematological parameter (blood glucose, red blood cell, hematocrit, and hemoglobin) decreased but prevalence and severity of micronucleus and white blood cells increased significantly (p< 0.05) with concentration and time duration. Other blood indices including mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH) and mean corpuscular hemoglobin concentration (MCHC) were correspondingly changed in comparison to the control. In the recovery experiment, the silver barb recovered spontaneously, but the recovery rate was significantly higher in probiotic treated groups than normally treated groups in time and duration reliant fashion. In conclusion, persistent sublethal dosages of sumithion caused hematological abnormalities in silver barb. Probiotic supplement can recover the damage but only 28 days of recovery is not enough to recover the total alterations.
    Keywords Barbonymus gonionotus ; blood glucose ; erythrocytes ; hematocrit ; hemoglobin ; lethal concentration 50 ; pesticides ; probiotics ; Hematoxicity ; Sublethal ; LC50 ; Probiotic ; In vivo exposures ; Recovery
    Language English
    Size p. 230-237.
    Publishing place Elsevier B.V.
    Document type Article ; Online
    Note Use and reproduction
    ZDB-ID 2805786-7
    ISSN 2214-7500
    ISSN 2214-7500
    DOI 10.1016/j.toxrep.2022.02.004
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: Clinical manifestations and outcomes of COVID-19 in maintenance hemodialysis patients of a high infectious epidemic country: a prospective cross-sectional study.

    Mondal, Mina / Islam, Muhammad Nazrul / Ullah, Ahsan / Haque, Md Rezwanul / Rahman, Motiur / Bosak, Liza / Rahman, Md Foyzur / Zaman, Shaikh Riaduz / Rahman, Mohammad Meshbahur

    Annals of medicine and surgery (2012)

    2023  Volume 85, Issue 9, Page(s) 4293–4299

    Abstract: Introduction: The outbreak of COVID-19 poses great challenges for patients on maintenance haemodialysis. Here, we reported the clinical characteristics and laboratory features of maintenance haemodialysis (MHD) patients with COVID-19 in Bangladesh.: ... ...

    Abstract Introduction: The outbreak of COVID-19 poses great challenges for patients on maintenance haemodialysis. Here, we reported the clinical characteristics and laboratory features of maintenance haemodialysis (MHD) patients with COVID-19 in Bangladesh.
    Methods: Altogether, 67 MHD patients were enroled in the study from two dedicated tertiary-level hospitals for COVID-19 after the prospective cross-sectional execution of selection criteria. Data were collected from medical records and interviews. Different statistical analysis was carried out in the data analysis.
    Results: The mean age was 55.0±9.9 years, with 40 males (59.7%). The mean dialysis duration was 23.4±11.5 months. The most common symptoms were fever (82.1%), cough (53.7%), and shortness of breath (55.2%), while the common comorbid condition was hypertension (98.5%), followed by diabetes (56.7%). Among MHD patients, 52.2% to 79.1% suffered from severe to critical COVID-19, 48 patients (71.6%) had 26-75% lung involvement on high resolution computed tomography of the chest, 23 patients (34.3%) did not survive, 20 patients (29.9%) were admitted to ICU, and nine patients (13.4%) needed mechanical ventilation. Patients who did not survive were significantly older (mean age: 63.0 vs. 50.86 years,
    Conclusion: Maintenance haemodialysis patients had severe to critical COVID-19 and had a higher risk of non-survival if they were older and had comorbidities such as hypertension and diabetes. Therefore, MHD patients with COVID-19 need close monitoring to improve their outcomes.
    Language English
    Publishing date 2023-07-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2745440-X
    ISSN 2049-0801
    ISSN 2049-0801
    DOI 10.1097/MS9.0000000000001046
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Scalable Telehealth Services to Combat Novel Coronavirus (COVID-19) Pandemic.

    Ullah, Shah Muhammad Azmat / Islam, Md Milon / Mahmud, Saifuddin / Nooruddin, Sheikh / Raju, S M Taslim Uddin / Haque, Md Rezwanul

    SN computer science

    2021  Volume 2, Issue 1, Page(s) 18

    Abstract: An ongoing pandemic, the novel coronavirus disease 2019 (COVID-19) is threatening the nations of the world regardless of health infrastructure conditions. In the age of digital electronic information and telecommunication technology, scalable telehealth ... ...

    Abstract An ongoing pandemic, the novel coronavirus disease 2019 (COVID-19) is threatening the nations of the world regardless of health infrastructure conditions. In the age of digital electronic information and telecommunication technology, scalable telehealth services are gaining immense importance by helping to maintain social distances while providing necessary healthcare services. This paper aims to review the various types of scalable telehealth services used to support patients infected by COVID-19 and other diseases during this pandemic. Recently published research papers collected from various sources such as Google Scholar, ResearchGate, PubMed, Scopus, and IEEE Xplore databases using the terms "Telehealth", "Coronavirus", "Scalable" and "COVID-19" are reviewed. The input data and relevant reports for the analysis and assessment of the various aspects of telehealth technology in the COVID-19 pandemic are taken from official websites. We described the available telehealth systems based on their communication media such as mobile networks, social media, and software based models throughout the review. A comparative analysis among the reviewed systems along with necessary challenges and possible future directions are also drawn for the proper selection of affordable technologies. The usage of scalable telehealth systems improves the quality of the healthcare system and also reduces the infection rate while keeping both patients and doctors safe during the pandemic.
    Language English
    Publishing date 2021-01-06
    Publishing country Singapore
    Document type Journal Article ; Review
    ISSN 2661-8907
    ISSN (online) 2661-8907
    DOI 10.1007/s42979-020-00401-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Clinical, laboratory, and imaging findings of stage 3-5 chronic kidney disease patients suffering from COVID-19 in Bangladesh: a prospective cross-sectional study

    Ullah, Ahsan / Khanam, Asia / Mondal, Mina / Haque, Md Rezwanul / Sumon, AHM Sanjedul Haque / Khan, Shakila / Hoque, Mohimanul / Sumon, Motiur Rahman / Rahman, Mohammad Meshbahur

    medRxiv

    Abstract: Background Chronic kidney disease (CKD) patients were susceptible to morbidity and mortality once they affected by COVID-19. These patients were more likely to develop severe disease, requiring dialysis, admission to intensive care unit. The aim of this ... ...

    Abstract Background Chronic kidney disease (CKD) patients were susceptible to morbidity and mortality once they affected by COVID-19. These patients were more likely to develop severe disease, requiring dialysis, admission to intensive care unit. The aim of this study was to evaluate the presentations and outcomes of COVID-19 in stage 3-5 CKD patients not on dialysis. Methods This prospective observational study was conducted in the COVID-19 unit, at Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka from September 2020 to August 2021. Hospitalized RT-PCR positive COVID-19 patients with pre-existing CKD having eGFR <60 ml/min/1.73 m<sub>2</sub> but not yet on dialysis were enrolled. Clinical and laboratory parameters were recorded. Outcomes were observed till discharge from the hospital and followed up after 3 months of survived patients. Results Out of 109 patients, the mean age was 58.1(SD: 15.4) years where 61.5% were male. Common co-morbid conditions were hypertension (89.0%), diabetes mellitus (58.7%) and ischemic heart disease (24.8%). Fever, cough, shortness of breath and fatigue were common presenting features. Most of the patients had moderate (41.3%) and severe (41.3%) COVID-19. Sixty-six patients (60.6%) developed AKI on CKD. Twenty patients (30.3%) required dialysis. Death occurred in 16 patients (14.7%) and 12 patients (11%) required ICU admission and 6 patients (9.1%) achieved baseline renal function at discharge. We identified risk factors like low haemoglobin, lymphopenia, high CRP, high procalcitonin, high LDH and low SpO<sub>2</sub> in patients who did not survive. Seventy-six patients were followed up at 3rd month where 17 patients were lost. Ten patients (27.0%) achieved baseline renal function who had persistent AKI at discharge and 34 patients (87.1%) remained stable who had stable renal function at discharge. Conclusion The stage 3-5 chronic kidney patients with COVID-19 are vulnerable to severe to critical morbidity and mortality with higher incidence of AKI which demands a special attention to this group of patients.
    Keywords covid19
    Language English
    Publishing date 2023-12-19
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2023.12.18.23300150
    Database COVID19

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  7. Article ; Online: Clinical, laboratory, and imaging findings of stage 3-5 chronic kidney disease patients suffering from COVID-19 in Bangladesh: a prospective cross-sectional study

    Ullah, Ahsan / Khanam, Asia / Mondal, Mina / Haque, Md Rezwanul / Sumon, AHM Sanjedul Haque / Khan, Shakila / Haque, Md. Mohimanul / Sumon, Motiur Rahman / Rahman, Mohammad Meshbahur

    medRxiv

    Abstract: Background Chronic kidney disease (CKD) patients were susceptible to morbidity and mortality once they affected by COVID-19. These patients were more likely to develop severe disease, requiring dialysis, admission to intensive care unit. The aim of this ... ...

    Abstract Background Chronic kidney disease (CKD) patients were susceptible to morbidity and mortality once they affected by COVID-19. These patients were more likely to develop severe disease, requiring dialysis, admission to intensive care unit. The aim of this study was to evaluate the presentations and outcomes of COVID-19 in stage 3-5 CKD patients not on dialysis. Methods This prospective observational study was conducted in the COVID-19 unit, at Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka from September 2020 to August 2021. Hospitalized RT-PCR positive COVID-19 patients with pre-existing CKD having eGFR <60 ml/min/1.73 m<sub>2</sub> but not yet on dialysis were enrolled. Clinical and laboratory parameters were recorded. Outcomes were observed till discharge from the hospital and followed up after 3 months of survived patients. Results Out of 109 patients, the mean age was 58.1(SD: 15.4) years where 61.5% were male. Common co-morbid conditions were hypertension (89.0%), diabetes mellitus (58.7%) and ischemic heart disease (24.8%). Fever, cough, shortness of breath and fatigue were common presenting features. Most of the patients had moderate (41.3%) and severe (41.3%) COVID-19. Sixty-six patients (60.6%) developed AKI on CKD. Twenty patients (30.3%) required dialysis. Death occurred in 16 patients (14.7%) and 12 patients (11%) required ICU admission and 6 patients (9.1%) achieved baseline renal function at discharge. We identified risk factors like low haemoglobin, lymphopenia, high CRP, high procalcitonin, high LDH and low SpO<sub>2</sub> in patients who did not survive. Seventy-six patients were followed up at 3rd month where 17 patients were lost. Ten patients (27.0%) achieved baseline renal function who had persistent AKI at discharge and 34 patients (87.1%) remained stable who had stable renal function at discharge. Conclusion The stage 3-5 chronic kidney patients with COVID-19 are vulnerable to severe to critical morbidity and mortality with higher incidence of AKI which demands a special attention to this group of patients.
    Keywords covid19
    Language English
    Publishing date 2023-12-19
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2023.12.18.23300150
    Database COVID19

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  8. Book ; Online: BaDLAD

    Shihab, Md. Istiak Hossain / Hasan, Md. Rakibul / Emon, Mahfuzur Rahman / Hossen, Syed Mobassir / Ansary, Md. Nazmuddoha / Ahmed, Intesur / Rakib, Fazle Rabbi / Dhruvo, Shahriar Elahi / Dip, Souhardya Saha / Pavel, Akib Hasan / Meghla, Marsia Haque / Haque, Md. Rezwanul / Chowdhury, Sayma Sultana / Sadeque, Farig / Reasat, Tahsin / Humayun, Ahmed Imtiaz / Sushmit, Asif Shahriyar

    A Large Multi-Domain Bengali Document Layout Analysis Dataset

    2023  

    Abstract: While strides have been made in deep learning based Bengali Optical Character Recognition (OCR) in the past decade, the absence of large Document Layout Analysis (DLA) datasets has hindered the application of OCR in document transcription, e.g., ... ...

    Abstract While strides have been made in deep learning based Bengali Optical Character Recognition (OCR) in the past decade, the absence of large Document Layout Analysis (DLA) datasets has hindered the application of OCR in document transcription, e.g., transcribing historical documents and newspapers. Moreover, rule-based DLA systems that are currently being employed in practice are not robust to domain variations and out-of-distribution layouts. To this end, we present the first multidomain large Bengali Document Layout Analysis Dataset: BaDLAD. This dataset contains 33,695 human annotated document samples from six domains - i) books and magazines, ii) public domain govt. documents, iii) liberation war documents, iv) newspapers, v) historical newspapers, and vi) property deeds, with 710K polygon annotations for four unit types: text-box, paragraph, image, and table. Through preliminary experiments benchmarking the performance of existing state-of-the-art deep learning architectures for English DLA, we demonstrate the efficacy of our dataset in training deep learning based Bengali document digitization models.
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2023-03-09
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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